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This paper deals with super-resolution, i.e. the reconstruction of a high resolution image from a sequence of low resolution noisy and possibly blurred images. We have developed an iterative procedure for minimizing a measure of discrepancy based on the Csiszàr’s I-divergence. One advantage of this algorithm is to provide a natural positivity constraint on the solution. We consider a block-based version...
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